Chief AI Engineer - AWS Agentic Product - Remote Eligible

Genesis Ai Architect

This isn't another engineering job — it's a chance to redefine enterprise SaaS.

You'll lead the architecture and development of Genesis AI, the intelligence layer powering Expedite Commerce's Revenue Experience Platform (RevXP) — an AI-first and composable ecosystem that unites CPQ, CLM, Billing, and eCommerce into one agent-powered framework.

We're rewriting the SaaS playbook with Agentic AI, conversational interfaces, and dynamic UIs built on AWS Serverless and a Salesforce-powered backend, but backend-agnostic by design. Genesis AI runs AWS-first (Lambda, Step Functions, DynamoDB) with adapters for Salesforce today and other backends tomorrow. Our microservices expose OpenAPI contracts so experiences can be built inside Salesforce or entirely outside of it.

You won't just build systems — you'll build your legacy.

Is This You? Be Honest — This Isn't Corporate AI.

• We move at a safe warp speed — fast but precise.
• Our structure is lean yet disciplined: architecture reviews, consistent documentation, and collaborative iteration.
• You'll have autonomy within well-defined guardrails that make excellence repeatable.
• If you need detailed playbooks before acting, this won't fit.
• If you love creating clarity out of ambiguity and thrive when ownership meets accountability — this is your environment.
• You'll be surrounded by people who believe in first principles over politics and who measure success by what we ship, not what we discuss.
• We expect engineering maturity — every decision documented, every pattern explainable, every service discoverable.
• If you architect it, others should be able to learn from it, extend it, and audit it easily.

What You'll Do

Architect Multi-Platform Solutions

Design and scale cloud-native, serverless architectures using AWS + AI frameworks that integrate seamlessly with Salesforce and enterprise ecosystems.

Own the Data Gravity Strategy

Engineer a clear system-of-record vs cache model (e.g., Salesforce as SoR with DynamoDB performance caches today) while laying the groundwork to swap the SoR without breaking agents, APIs, or UI contracts.

Lead the Full Product Lifecycle

Own the journey — from concept to deployment — ensuring scalability, reliability, and measurable business outcomes.

Embed Agentic AI into Production

Deploy multi-agent architectures using OpenAI Agent SDK, LiteLLM, or custom frameworks. Map intelligence to AWS services (Lambda, Step Functions, DynamoDB) for real-world, production-grade AI.

Integrate & Scale SaaS Ecosystems

Unite Salesforce (CPQ, CLM, Billing, eCommerce) and AWS services through event-driven, agent-powered workflows that enable enterprise automation.

Engineer with Discipline and Transparency

• Follow our Vibe coding discipline — leverage AI tools to accelerate delivery, not skip thinking.
• Maintain paintability — every AI-assisted commit must be understandable, reviewable, and aligned with system context.
• Adhere to Expedite's documentation standards — clear diagrams, concise write-ups, and traceable design rationale.
• Contribute to continuous process improvement — refine how we build, test, and document without reinventing for novelty's sake.

Prototype, Code & Ship

Write Python and Node.js production code, build POCs, troubleshoot integrations, and shape reusable blueprints for scalable systems.

Drive Observability & Reliability

Architect with monitoring, logging, and governance as core principles. Performance and scalability aren't afterthoughts — they're design constraints.

Elevate AI in the Enterprise

Implement responsible AI with context traceability and explainability. Use predictive analytics, NLP, and generative AI where they drive clear ROI.

Your Toolbox

• AWS Mastery: API Gateway, Lambda, Step Functions, DynamoDB, S3, Cognito, CloudFormation/Terraform, CI/CD.
• Agentic AI Engineering: Multi-agent orchestration, AI memory, workflow automation, and MCP/A2A interoperability.
• Salesforce Integration: REST APIs, Platform Events, Object Model familiarity (CPQ, CLM, Billing).
• Programming: Expert in Python & Node.js for backend, automation, and service orchestration.
• Interoperability: REST APIs, event-driven systems, hybrid-cloud architecture, NoSQL data design.
• OpenAPI Everywhere: Author and evolve OpenAPI 3.1 specs for each domain service; use Swagger for live docs/tests and version in Git.
• AI-Assisted Engineering Discipline: Use AI coding tools responsibly — prompt with full context, review generated code, and document rationale for each AI-assisted change.